Applied Scientist / Research Engineer - Cybersecurity - EMEA

Mistral AI • Paris, TX

67d

About The Position

Mistral AI is seeking Applied Scientists and Research Engineers to build telemetry-native security agents and specialized foundation models for observability and defense. You'll create agents that detect, diagnose, and help resolve incidents-grounded in real-world security and SRE workflows-and evaluate them in simulated environments before hardening for production. You'll work across model research, large-scale training, and productization with a strong emphasis on provenance, auditability, and safety.

Requirements

• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.
• You have background in adversarial ML, agent/prompt security, watermarking/detectors, differential privacy, or trusted execution (TEE).
• You're not afraid of contributing to a big codebase and can find yourself around independently with little guidance.
• You're expert with PyTorch or JAX; strong C++/CUDA or low‑level performance skills a plus; production‑grade Python.
• You don't need roadmaps: you just do. You don't need a manager: you just ship.
• Low-ego, collaborative and eager to learn.
• You have a track record of success through personal projects, professional projects or in academia.

Nice To Haves

• Hold a PhD / master in a relevant field (e.g., Mathematics, Physics, Machine Learning), but if you're an exceptional candidate from a different background, you should apply.
• Have contributed to a large codebase used by many (open source or in the industry).
• Have a track record of publications in top academic journals or conferences.
• Have publications in top ML/security venues and/or contributions to open-source security or observability tools.
• Love improving existing code by fixing typing issues, adding tests and improving CI pipelines.

Responsibilities

• Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs. You don't panic when you see OOM errors or when NCCL feels like not wanting to talk.
• Develop and pre-/post-train domain-specialized foundation models for observability, security, site reliability engineering, and code repair
• Run large‑scale experiments to balance accuracy, latency, throughput, and power under tight memory constraints; profile and fix bandwidth/compute bottlenecks.
• Manage research projects and communications with client research teams.

Benefits

• Competitive cash salary and equity
• Food : Daily lunch vouchers
• Sport : Monthly contribution to a Gympass subscription
• Transportation : Monthly contribution to a mobility pass
• ️ Health : Full health insurance for you and your family
• Parental : Generous parental leave policy
• Visa sponsorship
• Insurance
• Transportation: Reimburse office parking charges, or 90GBP/month for public transport
• Sport: 90GBP/month reimbursement for gym membership
• Meal voucher: £200 monthly allowance for its meals
• Pension plan: SmartPension (percentages are 5% Employee & 3% Employer)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 251-500 employees